Sumedh RasalQ-Transformers: Making Sense of Advanced AIIn a world increasingly shaped by AI, it’s easy to feel overwhelmed by the jargon and technicalities. But fret not, because we’re here to…Oct 9, 2023Oct 9, 2023
PallawiExploring Paddle-OCR: Performance on Diverse Data Formats and Multilingual TextThis blog stems from my curiosity to research the performance of Paddle-OCR, a robust and versatile optical character recognition (OCR)…Sep 18, 2023Sep 18, 2023
Sumedh RasalComparing LAS Files: A Chamfer Distance ApproachLAS (LIDAR data exchange format) files have become indispensable tools in solving real-world problems, particularly in fields like geology…Sep 15, 2023Sep 15, 2023
Sumedh RasalEnhancing Vehicle Safety And Driving Experience: How Technology Fixes Lane And Road Boundary…IntroductionSep 3, 2023Sep 3, 2023
PallawiA quick and step-by-step guide to run Segment Anything Research by Meta AI on a GPU-Linux machineSegment Anything model (SAM) Keypoints:Apr 18, 2023Apr 18, 2023
PallawiAdvancement of Paddle-OCR over time-An excellent AblationMy thoughts on building an OCR systemMar 21, 2023Mar 21, 2023
Ofer MelnikSignatures: Augmented Reality at the world scaleHERE Technologies is foremost a mapping company, a company trying to capture reality and represent it as a map, a format that’s as old as…Mar 23, 2022Mar 23, 2022
Abhilshit SoniAnalysing an Aerial LiDAR Point Cloud datasetLiDAR data is an integral part of any map making company. Captured in-house or procured from a vendor, map making companies rely on LiDAR…Nov 26, 2021Nov 26, 2021
Xiaoying JinPotential Applications of Semi-Supervised and Self-Supervised Learning for Automated Map Making and…Use Unlabeled Data in Machine LearningJul 28, 2021Jul 28, 2021
Xiaoying JinPotential Applications of Perception for Automated Map Making and Autonomous Vehicles — CVPR 2021Topics: Perception, Deep Learning, Map Making, Autonomous Vehicles, Object Detection, Semantic Segmentation, Instance Segmentation…Jul 22, 2021Jul 22, 2021